CVE-2025-48887: vLLM, an inference and serving engine for large language models (LLMs), has a Regular Expression Denial of Service (ReDo
Summary
vLLM, a software system that runs and serves large language models, has a vulnerability in how it parses tool commands that can be exploited to crash or slow down the service. The problem comes from using an overly complex pattern-matching rule (regular expression with nested quantifiers, optional groups, and inner repetitions) that can cause the system to get stuck processing certain inputs, leading to severe performance problems.
Solution / Mitigation
Update to version 0.9.0 or later, which contains a patch for the issue.
Vulnerability Details
6.5(medium)
EPSS: 0.1%
Classification
Taxonomy References
Affected Vendors
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2025-48887
First tracked: February 15, 2026 at 08:44 PM
Classified by LLM (prompt v3) · confidence: 95%